MSIG USA continues to grow!
Company Overview:
MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.
Data Product Owner - Product, Underwriting & Actuary
Role Summary
This role leads the data strategy, roadmap, and execution across Product, Underwriting, and Actuarial domains. You will define how data is captured, governed, modeled, and delivered across the insurance value chain so business leaders can make faster, more accurate, and more confident risk and pricing decisions.
You will own the development of trusted data products spanning policy structure, rate filings, exposure, pricing, loss costs, risk selection, reserving, IBNR, schedule P, and actuarial indications. These data products will support operational efficiency, pricing adequacy, regulatory compliance, portfolio steering, reserve development monitoring, risk segmentation, and product profitability analysis.
You will work closely with Product, Underwriting, Actuarial, Claims, Finance, Reinsurance, IT, and Data Engineering to ensure consistent, high-quality data from submission and quote through policy issuance, renewal, and ultimate loss development.
Responsibilities
Data Strategy & Governance
Data Engineering Partnership & Oversight
Reporting, Dashboards & Analytics Enablement
AI, Machine Learning & Advanced Analytics Use Cases
Identify and prioritize AI and advanced analytics use cases, including:
Predictive risk scoring and underwriting triage models
Price elasticity and appetite modeling
Automated extraction from submissions, SOVs, loss runs, and policy documents
Reserve development and IBNR estimation using machine learning
Exposure accumulation and catastrophe risk analytics
Loss cost trend analysis and actuarial indication automation
Generative AI summaries for underwriting files, actuarial memos, and product performance narratives
Partner with Data Science and Azure AI Studio teams to ensure models are explainable, validated, and embedded into underwriting and actuarial workflows.
Backlog Management, User Stories & Cross-Functional Collaboration
Business Impact & Operational Improvement
Required Skills and Experience
Preferred Qualifications
SALARY: The estimated salary range for this position is $140,000.00 - $210,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors.
Additional Benefits:
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts
#LI-HYBRID
#LI-REMOTE, #LI-HYBRID, #LI-ONSITE
It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!
It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.
| Location | Warren, NJ (Remote) |
| Salary | $140,000–$210,000 Per Year |
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